Head-Mounted Display for Virtual and Mixed Reality with Inside-Out Positional, User Body and Environment Tracking

3. The method of claim 2, wherein the first camera sensor corresponds to an RGB camera sensor, and wherein the second camera sensor corresponds to a mono camera sensor.

4. The method of claim 2, wherein performing embedded tracking includes performing at least one of: positional tracking of the HMD and user body tracking of a user of the HMD.

8. The method of claim 2, wherein performing embedded tracking includes performing environmental tracking on one or more physical objects within the physical environment.

10. The method of claim 9, wherein the key-points include at least one of Harris corner, local extrema points based on invariant Hu-moments, and Hessian determinants.

11. The method of claim 9, wherein the robust feature descriptors correspond to a histogram of gradient descriptors or Haar-like feature descriptors.

12. The method of claim 9, wherein extracting features local to the key-points includes using one of a classification algorithm or a support vector machine.

13. The method of claim 2, wherein the first and second camera sensors share a common axis.

14. The method of claim 1, wherein the depth map is obtained by a time-of-flight (ToF) camera sensor of the HMD based on an amount of time taken for a light ray to leave an IR emitter associated with the ToF camera sensor and to return to the ToF camera sensor.

17. The HMD of claim 16, wherein the first and second camera sensors correspond to RGB stereo camera sensors, and wherein the third and fourth camera sensors correspond to a mono stereo camera sensors.

20. The non-transitory computer-readable medium of claim 19, wherein performing embedded tracking includes performing at least one of: positional tracking of the HMD and user body tracking of a user of the HMD.